人工智能

（8）

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Features from sound Vector quantization Can be used in many different applications Dynamic program Can be used for speech recognition and many applications Pitch extraction for music signal analysis Can be used for building music recommendation system, music data base analysis Face detection AdaBoost– a classification technique, can be used in many A.I. fields. Artificial Neural networks Back-propagation networks, CNN etc. Optional: RNN, LSTM neural networks, Decision tree and Support vector machine SVM

丁Peter

1381 观看

0 点赞

0 收藏

人工智能（8）

Features from sound Vector quantization Can be used in many different applications Dynamic program Can be used for speech recognition and many applications Pitch extraction for music signal analysis Can be used for building music recommendation system, music data base analysis Face detection AdaBoost– a classification technique, can be used in many A.I. fields. Artificial Neural networks Back-propagation networks, CNN etc. Optional: RNN, LSTM neural networks, Decision tree and Support vector machine SVM

丁Peter

02_ Preprocessing of audio signals in time an...

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02_ Preprocessing of audio signals in time and frequency domain

03_Feature extraction from audio signals

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03_Feature extraction from audio signals

04_Feature representation

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04_Feature representation

07_Face_detection

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07_Face_detection

05_Speech Recognition

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05_Speech Recognition

06_Adaboost for building robust classifiers

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06_Adaboost for building robust classifiers

08_Artificial Neural networks

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08_Artificial Neural networks

09_Introduction to Convolution Neural Network...

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09_Introduction to Convolution Neural Networks CNN

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